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PSPP-BUG: [bug #26861] REGRESSION Crashes on alpha variables.


From: Ben Pfaff
Subject: PSPP-BUG: [bug #26861] REGRESSION Crashes on alpha variables.
Date: Mon, 20 Jul 2009 20:04:46 +0000
User-agent: Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.11) Gecko/2009061319 Iceweasel/3.0.11 (Debian-3.0.11-1)

Follow-up Comment #7, bug #26861 (project pspp):

Jason: thanks for the fix.

When I apply this to stable (without pushing it), however, I get the
following results.  I think that these are still wrong.  Is there a missing
patch?


2.1 REGRESSION.  Model Summary
#=============#========#=================#==========================#
#           R #R Square|Adjusted R Square|Std. Error of the Estimate#
#========#====#========#=================#==========================#
#        |1.94#    3.75|             6.50|                       NaN#
#========#====#========#=================#==========================#

2.2 REGRESSION.  ANOVA
#===================#==============#==#===========#===#============#
#                   #Sum of Squares|df|Mean Square| F |Significance#
#========#==========#==============#==#===========#===#============#
#        |Regression#          7.50| 2|       3.75|.00|         NaN#
#        |Residual  #         -5.50| 0|   -Infinit|   |            #
#        |Total     #          2.00| 2|           |   |            #
#========#==========#==============#==#===========#===#============#

2.3 REGRESSION.  Coefficients
#=================================#====#==========#====#===#============#
#                                 #  B |Std. Error|Beta| t |Significance#
#========#========================#====#==========#====#===#============#
#        |(Constant)              #2.00|       NaN| .00|NaN|         NaN#
#        |aOne     Two     Three  #1.50|       NaN| .87|NaN|         NaN#
#        |aTwo     Three   d7'   b#3.00|       NaN|1.73|NaN|         NaN#
#        |                        #    |          |    |   |            #
#========#========================#====#==========#====#===#============#

2.4 REGRESSION.  Model Summary
#=============#========#=================#==========================#
#           R #R Square|Adjusted R Square|Std. Error of the Estimate#
#========#====#========#=================#==========================#
#        |1.94#    3.75|             6.50|                       NaN#
#========#====#========#=================#==========================#

2.5 REGRESSION.  ANOVA
#===================#==============#==#===========#===#============#
#                   #Sum of Squares|df|Mean Square| F |Significance#
#========#==========#==============#==#===========#===#============#
#        |Regression#        907.50| 2|     453.75|.00|         NaN#
#        |Residual  #       -665.50| 0|   -Infinit|   |            #
#        |Total     #        242.00| 2|           |   |            #
#========#==========#==============#==#===========#===#============#

2.6(1) REGRESSION.  Coefficients
#=================================#=====#==========#====#===#============#
#                                 #  B  |Std. Error|Beta| t |Significance#
#========#========================#=====#==========#====#===#============#
#        |(Constant)              #22.00|       NaN| .00|NaN|         NaN#
#        |aOne     Two     Three  #16.50|       NaN| .87|NaN|         NaN#
#========#========================#=====#==========#====#===#============#


2.6(3) REGRESSION.  Coefficients
#=================================#=====#==========#====#===#============#
#                                 #  B  |Std. Error|Beta| t |Significance#
#========#========================#=====#==========#====#===#============#
#        |aTwo     Three   d7'   b#33.00|       NaN|1.73|NaN|         NaN#
#        |                        #     |          |    |   |            #
#========#========================#=====#==========#====#===#============#


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